Spatial-temporal variations of summertime ozone concentrations across a metropolitan area using a network of low-cost monitors to develop 24 hourly land-use regression models

Science of the Total Environment

Volumn 654, Issue , 2019, Pages 1167-1178

  Masiol, Mauro ^a,b   Squizzato, Stefania ^a,b   Chalupa, David ^a   Rich, David Q ^a   Hopke, Philip K ^a,c  

^a UNIVERSITY OF ROCHESTER MEDICAL CENTER   (United States)

^b INSTITUTE OF CHEMICAL ENGINEERING SCIENCES   (Greece)

^c CLARKSON UNIVERSITY   (United States)

Author keywords

Air pollution exposure; Land use regression model; Ozone; Semiconductor gas sensor; Urban air pollution

Indexed keywords

AIR QUALITY; COST BENEFIT ANALYSIS; COSTS; LAND USE; REGRESSION ANALYSIS;

AIR POLLUTION EXPOSURES; AMBIENT OZONE CONCENTRATION; FEDERAL EQUIVALENT METHODS; LAND-USE REGRESSION MODELS; SEMICONDUCTOR GAS SENSORS; SPATIAL AND TEMPORAL PATTERNS; SPATIAL AND TEMPORAL VARIABILITY; URBAN AIR POLLUTION;

OZONE;

OZONE;

ATMOSPHERIC POLLUTION; CONCENTRATION (COMPOSITION); LAND USE; METROPOLITAN AREA; OZONE; POLLUTION MONITORING; REGRESSION ANALYSIS; SPATIAL VARIATION; SUMMER; TEMPORAL VARIATION; URBAN POLLUTION;

AIR MONITORING; AIR POLLUTION; AIR QUALITY; ARTICLE; CONTROLLED STUDY; FOREST; GEOGRAPHIC ELEVATION; HIGHWAY; NEW YORK; PREDICTION; PRIORITY JOURNAL; SHRUB; SPATIOTEMPORAL ANALYSIS; SUMMER; TRAFFIC; URBAN AREA;

MONROE COUNTY [NEW YORK]; NEW YORK [UNITED STATES]; UNITED STATES;

EID: 85056729292     PISSN: 00489697     EISSN: 18791026     Source Type: Journal    
DOI: 10.1016/j.scitotenv.2018.11.111     Document Type: Article

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